Moral Machine

[4] The key contributors to building the platform were MIT Media Lab graduate students Edmond Awad and Sohan Dsouza.

The presented scenarios are often variations of the trolley problem, and the information collected would be used for further research regarding the decisions that machine intelligence must make in the future.

[5][6][7][8][9][10] For example, as artificial intelligence plays an increasingly significant role in autonomous driving technology, research projects like Moral Machine help to find solutions for challenging life-and-death decisions that will face self-driving vehicles.

[1][7] The Moral Machine was an ambitious project; it was the first attempt at using such an experimental design to test a large number of humans in over 200 countries worldwide.

[12][13] The setup of the experiment asks the viewer to make a decision on a single scenario in which a self-driving car is about to hit pedestrians.

The user can decide to have the car either swerve to avoid hitting the pedestrians or keep going straight to preserve the lives it is transporting.

However, by collecting a large amount of decisions from humans all over the world, researchers can begin to understand patterns in the context of a particular culture, community, and people.

In October 2016, a feature was added that offered users the option to fill a survey about their demographics, political views, and religious beliefs.

Between November 2016 and March 2017, the website was progressively translated into nine languages in addition to English (Arabic, Chinese, French, German, Japanese, Korean, Portuguese, Russian, and Spanish).